Eletronic Materials For Natural Language Research

用于自然语言研究的电子材料

• 批准号: 9113530
• 负责人: Mark Liberman
• 金额: $ 13.99万
• 依托单位: University of Pennsylvania
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-07-01 至 1993-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9113530&HistoricalAwards=false
• 关键词: Eletronic; Materials; Natural; Language; Research

This software capitalization project is to fund the reformatting of the online text data, which exists as part of the Association for Computational Linguistics Data Encoding Initiative, into a common SGML-based format and make it available to the research community at low cost and with minimal restrictions. This is the first of several collections which are being re-formatted. The project enables scaling up of natural language research so that more realistic problems can be studied. This is particularly relevant for applications in the recognition and analysis of text and speech. Existing generally-available text databases are too small. It is expensive and time consuming to obtain sufficient text and to make it usable for research. For individual researchers to duplicate this effort is wasteful. A common database will permit published results to be replicated or extended. There is joint funding for this project with other NSF offices and with DARPA.

该软件资本化项目是为在线文本数据的重新标准提供资金，在线文本数据作为计算语言学数据编码计划的一部分存在，以一种基于SGML的常见格式，并以低成本和最少的限制使研究社区可用。 这是重新格式化的几个收藏中的第一个。 该项目可以扩展自然语言研究，以便可以研究更现实的问题。 这与在文本和语音的识别和分析中的应用中尤其重要。 现有的通常可用的文本数据库太小。 获得足够的文本并使其可用于研究是昂贵且耗时的。 对于个人研究人员而言，重复这项工作是浪费的。 一个通用的数据库将允许复制或扩展已发布的结果。 该项目与其他NSF办事处以及DARPA共同提供了资金。